1. Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning
2. Using cluster analysis for data mining in educational technology research
3. Baker, R. S. J. D., Corbett, A. T., & Wagner, A. Z. (2006). Human classification of low-fidelity replays of student actions, in: Ikeda, M., Ashlay, K. & Chan, T. (eds.), Proceedings of the 8th International Conference on Intelligent Tutoring Systems. Springer.
4. The State of Educational Data Mining in 2009: A Review and Future Visions;R. S. J. D.Baker;Journal of Educational Data Mining,2009
5. Bienkowski, M., Feng, M., & Means, B. (2012). Enhancing teaching and learning through educational data mining and learning analytics: An issue brief. US Department of Education, Office of Educational Technology.